research
∙
06/09/2023
Urban Spatiotemporal Data Synthesis via Neural Disaggregation
The level of granularity of open data often conflicts the benefits it ca...
share
research
∙
01/10/2023
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
We adapt image inpainting techniques to impute large, irregular missing ...
research
∙
12/21/2022
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
Nine language-vision AI models trained on web scrapes with the Contrasti...
research
∙
08/26/2022
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy
Differential privacy mechanisms are increasingly used to enable public r...
research
∙
02/19/2020
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra
Machine learning algorithms are commonly specified in linear algebra (LA...
research
∙
08/20/2019
Data Management for Causal Algorithmic Fairness
Fairness is increasingly recognized as a critical component of machine l...
research
∙
08/12/2019
Delineating Knowledge Domains in the Scientific Literature Using Visual Information
Figures are an important channel for scientific communication, used to e...
research
∙
06/21/2019
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems
Emerging transportation modes, including car-sharing, bike-sharing, and ...
research
∙
05/03/2019
In Defense of Synthetic Data
Synthetic datasets have long been thought of as second-rate, to be used ...
research
∙
02/21/2019
Capuchin: Causal Database Repair for Algorithmic Fairness
Fairness is increasingly recognized as a critical component of machine l...
research
∙
01/04/2019
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs
In this paper, we propose a method for clustering image-caption pairs by...
research
∙
08/25/2018
Database-Agnostic Workload Management
We present a system to support generalized SQL workload analysis and man...
research
∙
08/23/2018
Privacy-Preserving Synthetic Datasets Over Weakly Constrained Domains
Techniques to deliver privacy-preserving synthetic datasets take a sensi...
research
∙
08/21/2018
MobilityMirror: Bias-Adjusted Transportation Datasets
We describe customized synthetic datasets for publishing mobility data. ...
research
∙
04/21/2018
A Nutritional Label for Rankings
Algorithmic decisions often result in scoring and ranking individuals to...
research
∙
01/17/2018
Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics
We consider methods for learning vector representations of SQL queries t...
research
∙
01/17/2018
Query2Vec: NLP Meets Databases for Generalized Workload Analytics
We propose methods for learning vector representations of SQL workloads ...
research
∙
10/24/2017
Synthetic Data for Social Good
Data for good implies unfettered access to data. But data owners must be...
research
∙
09/25/2017
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
Many real-world applications require large-scale data annotation, such a...
research
∙
06/22/2016
